3 of 3 Cloud Native Jobs in Slough

have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the biological sciences is a plus … data products. Minimum Requirements Demonstrated experience of Python backend development (e.g. using FastAPI). Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential. Strong skills in Python. Unit testing experience (e.g. pytest). Knowledge of More ❯

will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the biological sciences is a plus … software development (e.g. React). Demonstrated experience of Python development (e.g. using FastAPI). Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience. Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential. Strong skills in JavaScript/TypeScript and Python, ensuring best practices are More ❯

to deliver and improve on those metrics in an agile fashion. Responsibilities and Experience As a DataOps Engineer, this person will be a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardising and templatising biomedical and scientific data engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation … modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider Onyx data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource (including configuration-driven access to scientific data modelling tools) Observabilty (monitoring, alerting, logging, tracing, ...) Enable More ❯